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Applied Linear Algebra and Matrix Analysis, Thomas S. Shores


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Цена: 49370.00T
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Автор: Thomas S. Shores
Название:  Applied Linear Algebra and Matrix Analysis
ISBN: 9783030090678
Издательство: Springer
Классификация:

ISBN-10: 3030090671
Обложка/Формат: Soft cover
Страницы: 479
Вес: 1.00 кг.
Дата издания: 2018
Серия: Undergraduate Texts in Mathematics
Язык: English
Издание: Softcover reprint of
Иллюстрации: 30 illustrations, color; 15 illustrations, black and white; xii, 479 p. 45 illus., 30 illus. in color.
Размер: 236 x 211 x 23
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:
In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application. This approach places special emphasis on linear algebra as an experimental science that provides tools for solving concrete problems.The second edition’s revised text discusses applications of linear algebra like graph theory and network modeling methods used in Google’s PageRank algorithm. Other new materials include modeling examples of diffusive processes, linear programming, image processing, digital signal processing, and Fourier analysis. These topics are woven into the core material of Gaussian elimination and other matrix operations; eigenvalues, eigenvectors, and discrete dynamical systems; and the geometrical aspects of vector spaces.Intended for a one-semester undergraduate course without a strict calculus prerequisite, Applied Linear Algebra and Matrix Analysis augments the key elements of linear algebra with a wide choice of optional sections. With the book’s selection of applications and platform-independent assignments, instructors can tailor the curriculum to suit specific interests and ensure students across various disciplines are equipped with the powerful tools of linear algebra.

Дополнительное описание: 1. Linear Systems of Equations.- 2. Matrix Algebra.- 3. Vector Spaces.- 4. Geometrical Aspects of Standard Spaces.- 5. The Eigenvalue Problem.- 6. Geometrical Aspects of Abstract Spaces.


Linear Algebra Done Right

Автор: Axler Sheldon
Название: Linear Algebra Done Right
ISBN: 3319110799 ISBN-13(EAN): 9783319110790
Издательство: Springer
Рейтинг:
Цена: 41920.00 T
Наличие на складе: Невозможна поставка.
Описание: This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces.

Numerical linear algebra

Автор: Trefethen, Lloyd N. Bau, David, Iii
Название: Numerical linear algebra
ISBN: 0898713617 ISBN-13(EAN): 9780898713619
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 64370.00 T
Наличие на складе: Поставка под заказ.
Описание: Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra.

Linear Algebra: Pure & Applied

Автор: Goodaire Edgar G
Название: Linear Algebra: Pure & Applied
ISBN: 9814508365 ISBN-13(EAN): 9789814508360
Издательство: World Scientific Publishing
Цена: 109830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a matrix-oriented approach to linear algebra that covers the traditional material of the courses generally known as "Linear Algebra I" and "Linear Algebra II" throughout North America, but it also includes more advanced topics such as the pseudoinverse and the singular value decomposition that make it appropriate for a more advanced course as well. As is becoming increasingly the norm, the book begins with the geometry of Euclidean 3-space so that important concepts like linear combination, linear independence and span can be introduced early and in a "real" context. The book reflects the author's background as a pure mathematician -- all the major definitions and theorems of basic linear algebra are covered rigorously -- but the restriction of vector spaces to Euclidean n-space and linear transformations to matrices, for the most part, and the continual emphasis on the system Ax=b, make the book less abstract and more attractive to the students of today than some others. As the subtitle suggests, however, applications play an important role too. Coding theory and least squares are recurring themes. Other applications include electric circuits, Markov chains, quadratic forms and conic sections, facial recognition and computer graphics.

Numerical Linear Algebra

Автор: Wendland Holger
Название: Numerical Linear Algebra
ISBN: 131660117X ISBN-13(EAN): 9781316601174
Издательство: Cambridge Academ
Рейтинг:
Цена: 40120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. This book will be of particular use to applied mathematicians, engineers, computer scientists, and to all those interested in efficiently solving linear problems.

Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations

Автор: Tsung-Ming Huang, Ren-Cang Li, Wen-Wei Lin
Название: Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations
ISBN: 1611975352 ISBN-13(EAN): 9781611975352
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 53090.00 T
Наличие на складе: Невозможна поставка.
Описание: Nonlinear matrix equations arise frequently in applied science and engineering. This is the first book to provide a unified treatment of structure-preserving doubling algorithms, which have been recently studied and proven effective for notoriously challenging problems, such as fluid queue theory and vibration analysis for high-speed trains. The authors present recent developments and results for the theory of doubling algorithms for nonlinear matrix equations associated with regular matrix pencils, and highlight the use of these algorithms in achieving robust solutions for notoriously challenging problems that other methods cannot.Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations is intended for researchers and computational scientists. Graduate students may also find it of interest.

Applied Numerical Linear Algebra

Автор: James W. Demmel
Название: Applied Numerical Linear Algebra
ISBN: 0898713897 ISBN-13(EAN): 9780898713893
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 76910.00 T
Наличие на складе: Невозможна поставка.
Описание: Designed for use by first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition.

Numerical Linear Algebra: An Introduction

Автор: Holger Wendland
Название: Numerical Linear Algebra: An Introduction
ISBN: 1107147131 ISBN-13(EAN): 9781107147133
Издательство: Cambridge Academ
Рейтинг:
Цена: 91870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. This book will be of particular use to applied mathematicians, engineers, computer scientists, and to all those interested in efficiently solving linear problems.

Linear Algebra over Commutative Rings

Автор: Mcdonald,
Название: Linear Algebra over Commutative Rings
ISBN: 0367451778 ISBN-13(EAN): 9780367451776
Издательство: Taylor&Francis
Рейтинг:
Цена: 63280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph arose from lectures at the University of Oklahoma on topics related to linear algebra over commutative rings. It provides an introduction of matrix theory over commutative rings. The monograph discusses the structure theory of a projective module.

Numerical Linear Algebra

Автор: David Bau, Lloyd N. Trefethen
Название: Numerical Linear Algebra
ISBN: 1611977150 ISBN-13(EAN): 9781611977158
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 41580.00 T
Наличие на складе: Поставка под заказ.
Описание: Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field. It is noted for its 40 lecture-sized short chapters and its clear and inviting style. It is reissued here with a new foreword by James Nagy and a new afterword by Yuji Nakatsukasa about subsequent developments.

Linear Algebra and Matrix Analysis for Statistics

Автор: Banerjee, Sudipto
Название: Linear Algebra and Matrix Analysis for Statistics
ISBN: 1420095382 ISBN-13(EAN): 9781420095388
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Matrix Algebra for Linear Models

Автор: Gruber
Название: Matrix Algebra for Linear Models
ISBN: 1118592557 ISBN-13(EAN): 9781118592557
Издательство: Wiley
Рейтинг:
Цена: 107660.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models.

A Brief Course in Linear Algebra: Matrices and Matrix Equations for Undergraduate Students in Applied Mathematics, Science and Engineering

Автор: Ang Whye-Teong
Название: A Brief Course in Linear Algebra: Matrices and Matrix Equations for Undergraduate Students in Applied Mathematics, Science and Engineering
ISBN: 1627347240 ISBN-13(EAN): 9781627347242
Издательство: Неизвестно
Рейтинг:
Цена: 32140.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book contains a brief course in elementary linear algebra with emphasis on solving systems of linear algebraic and ordinary differential equations. It is written for undergraduate students in the disciplines of applied mathematics, science and engineering. Topics covered include basics of matrices and vectors, systems of linear algebraic equations, matrix inverse, matrix determinant, eigenvalues and eigenvectors, matrix diagonalization, and systems of first order linear ordinary differential equations. The connections between the topics are carefully elucidated. Derivations or proofs are given in detail for all the main results in the book. Basic knowledge of the arithmetic of complex numbers and exposure to elementary functions and calculus are assumed. Problems are set at the end of every main chapter of the book to test the understanding of students and to provide further insights into the topics studied.



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